A hybrid method based on ensemble WELM for handling multi class imbalance in cancer microarray data-Reference-Cited by-同舟云学术

A hybrid method based on ensemble WELM for handling multi class imbalance in cancer microarray data

Published:2017-11 Issue: Volume:266 Page:641-650
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Liu Zhen,Tang Deyu,Cai Yongming,Wang Ruoyu,Chen Fuhua

Funder

Natural Science Foundation of China

school of Medical Information Engineering, Guangdong Pharmaceutical University, and Guangdong Provincial Natural fund

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

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4. Reliable multiclass cancer classification of microarray gene expression profiles using an improved wavelet neural network;Zainuddin;Expert Syst. Appl.,2011

5. Gene selection from microarray gene expression data for classification of cancer subgroups employing PSO and adaptive K-nearest neighborhood technique;Kar;Expert Syst. Appl.,2015

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